Run img2img.py (TypeError: NoneType)

[matthiaspop]

Hi out there,

I am a total beginner with python and so on but, when I tried to run the img2img.py application following error hit me.

Traceback (most recent call last):
File "scripts/orig_scripts/img2img.py", line 296, in
main()
File "scripts/orig_scripts/img2img.py", line 233, in main
assert os.path.isfile(opt.init_img)
File "C:\Users\Matthias\anaconda3\envs\ldm\lib\genericpath.py", line 30, in isfile
st = os.stat(path)
TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType

Does anyone know, what I'm doing wrong? Do I need a different weight?
I am gladful for any help

[matthiaspop]

Here is the file again in its full horor.

(base) C:\Users\Matthias>cd C:\Users\Matthias\Documents\Stable Diffusion\stable-diffusion

(base) C:\Users\Matthias\Documents\Stable Diffusion\stable-diffusion>conda activate ldm

(ldm) C:\Users\Matthias\Documents\Stable Diffusion\stable-diffusion>python scripts/orig_scripts/img2img.py
Global seed set to 42
Loading model from models/ldm/stable-diffusion-v1/model.ckpt
Global Step: 470000
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
making attention of type 'vanilla' with 512 in_channels
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
making attention of type 'vanilla' with 512 in_channels
Some weights of the model checkpoint at openai/clip-vit-large-patch14 were not used when initializing CLIPTextModel: ['vision_model.encoder.layers.12.self_attn.q_proj.weight', 'vision_model.encoder.layers.16.self_attn.q_proj.weight', 'vision_model.encoder.layers.10.self_attn.q_proj.bias', 'vision_model.encoder.layers.15.layer_norm2.weight', 'vision_model.encoder.layers.8.self_attn.out_proj.weight', 'vision_model.encoder.layers.17.self_attn.out_proj.bias', 'vision_model.encoder.layers.1.mlp.fc1.bias', 'vision_model.encoder.layers.15.self_attn.q_proj.bias', 'vision_model.encoder.layers.17.layer_norm2.bias', 'vision_model.encoder.layers.9.self_attn.v_proj.weight', 'vision_model.encoder.layers.20.mlp.fc1.weight', 'vision_model.encoder.layers.12.layer_norm2.bias', 'vision_model.encoder.layers.2.mlp.fc2.weight', 'vision_model.encoder.layers.13.mlp.fc1.weight', 'vision_model.encoder.layers.12.self_attn.k_proj.bias', 'vision_model.encoder.layers.14.self_attn.out_proj.weight', 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'vision_model.encoder.layers.0.mlp.fc2.weight', 'vision_model.encoder.layers.5.mlp.fc2.weight', 'vision_model.encoder.layers.7.mlp.fc2.weight', 'vision_model.encoder.layers.20.self_attn.out_proj.weight', 'vision_model.encoder.layers.12.mlp.fc2.weight', 'vision_model.encoder.layers.4.layer_norm1.weight', 'vision_model.encoder.layers.7.mlp.fc1.bias', 'vision_model.encoder.layers.6.layer_norm2.bias', 'vision_model.encoder.layers.0.mlp.fc1.bias', 'vision_model.encoder.layers.9.self_attn.out_proj.bias', 'vision_model.encoder.layers.21.self_attn.out_proj.bias', 'vision_model.encoder.layers.8.mlp.fc1.weight', 'vision_model.encoder.layers.21.self_attn.v_proj.weight', 'vision_model.encoder.layers.21.self_attn.q_proj.weight', 'vision_model.encoder.layers.10.layer_norm1.weight', 'vision_model.encoder.layers.6.self_attn.out_proj.bias', 'vision_model.encoder.layers.11.self_attn.out_proj.bias', 'vision_model.encoder.layers.11.layer_norm2.bias', 'vision_model.encoder.layers.23.layer_norm2.weight', 'vision_model.encoder.layers.9.layer_norm1.weight', 'vision_model.encoder.layers.21.self_attn.out_proj.weight', 'vision_model.encoder.layers.9.self_attn.k_proj.weight', 'vision_model.encoder.layers.14.layer_norm1.bias', 'vision_model.encoder.layers.1.mlp.fc2.bias', 'logit_scale', 'vision_model.encoder.layers.14.self_attn.v_proj.weight', 'vision_model.encoder.layers.16.self_attn.v_proj.weight', 'vision_model.encoder.layers.14.layer_norm2.weight', 'vision_model.encoder.layers.2.layer_norm2.bias']

• This IS expected if you are initializing CLIPTextModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
• This IS NOT expected if you are initializing CLIPTextModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
• Traceback (most recent call last):
  File "scripts/orig_scripts/img2img.py", line 296, in
  main()
  File "scripts/orig_scripts/img2img.py", line 233, in main
  assert os.path.isfile(opt.init_img)
  File "C:\Users\Matthias\anaconda3\envs\ldm\lib\genericpath.py", line 30, in isfile
  st = os.stat(path)
  TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType

[alex-lairan]

Same issue here.

OS: Windows 10
Python: Python 3.8.5

Command:

python.exe .\scripts\img2img.py --prompt TEXT